code: def _print_args(args):
      print("\nTPOT settings:")
      for arg, arg_val in sorted(args.__dict__.items()):
          if arg == "DISABLE_UPDATE_CHECK":
              continue
          elif arg == "SCORING_FN" and arg_val is None:
              if args.TPOT_MODE == "classification":
                  arg_val = "accuracy"
              else:
                  arg_val = "neg_mean_squared_error"
          elif arg == "OFFSPRING_SIZE" and arg_val is None:
              arg_val = args.__dict__["POPULATION_SIZE"]
          else:
              arg_val = args.__dict__[arg]
  
          # Pad the outputs with an even amount of space
          arg = (arg + (" ") * 100)[:20]
          arg_val = (" ") * 5 + str(arg_val)
          print("{}={}".format(arg, arg_val))
      print("")
  
file_path: tpot/tpot/driver.py
imports: import numpy
  import pandas
  import argparse
  from sklearn.model_selection import train_test_split
  import sys
  import os
  from importlib import import_module
  from .tpot import TPOTClassifier, TPOTRegressor
  from ._version import __version__
label_desc: Use image node_id 5 for calling a global function with example usage: _print_args(args) without return types